Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134033
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Type: Journal article
Title: Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
Author: Southey, M.C.
Dowty, J.G.
Riaz, M.
Steen, J.A.
Renault, A.-L.
Tucker, K.
Kirk, J.
James, P.
Winship, I.
Pachter, N.
Poplawski, N.
Grist, S.
Park, D.J.
Pope, B.J.
Mahmood, K.
Hammet, F.
Mahmoodi, M.
Tsimiklis, H.
Theys, D.
Rewse, A.
et al.
Citation: npj Breast Cancer, 2021; 7(1):153-153
Publisher: Nature Research
Issue Date: 2021
ISSN: 2374-4677
2374-4677
Statement of
Responsibility: 
Melissa C. Southey, James G. Dowty, Moeen Riaz, Jason A. Steen, Anne-Laure Renault, Katherine Tucker ... et al.
Abstract: Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Most prior research has been based on women selected for high-risk features and more data is needed to make inference about breast cancer risk for women unselected for family history, an important consideration of population screening. We tested 1464 women diagnosed with breast cancer and 862 age-matched controls participating in the Australian Breast Cancer Family Study (ABCFS), and 6549 healthy, older Australian women enroled in the ASPirin in Reducing Events in the Elderly (ASPREE) study for rare germline variants using a 24-gene-panel. Odds ratios (ORs) were estimated using unconditional logistic regression adjusted for age and other potential confounders. We identified pathogenic variants in 11.1% of the ABCFS cases, 3.7% of the ABCFS controls and 2.2% of the ASPREE (control) participants. The estimated breast cancer OR [95% confidence interval] was 5.3 [2.1-16.2] for BRCA1, 4.0 [1.9-9.1] for BRCA2, 3.4 [1.4-8.4] for ATM and 4.3 [1.0-17.0] for PALB2. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.
Rights: © The Author(s) 2021. s This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons. org/licenses/by/4.0/.
DOI: 10.1038/s41523-021-00360-3
Grant ID: http://purl.org/au-research/grants/nhmrc/1155163
http://purl.org/au-research/grants/nhmrc/1101400
http://purl.org/au-research/grants/nhmrc/1074383
Published version: http://dx.doi.org/10.1038/s41523-021-00360-3
Appears in Collections:Medicine publications

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